Home/Compare/casdoor vs lm-evaluation-harness

Comparison

casdoor vs lm-evaluation-harness

Verdict

Pick casdoor if casdoor is an open-source solution for identity and access management (IAM), with robust agent-first capabilities that integrate with various authentication protocols including OAuth, OIDC, SAML, CAS, LDAP, SCIM, WebAuth; pick lm-evaluation-harness if lm-evaluation-harness is a Python framework for evaluating language models in various parallelism modes using different checkpoint formats, compatible with the Megatron-LM backend.

Markdown twin · casdoor alternatives · lm-evaluation-harness alternatives

GraphCanon updated today

casdoor logo

casdoor

casdoor/casdoor

14kpushed Jul 10, 2026
vs
lm-evaluation-harness logo

lm-evaluation-harness

EleutherAI/lm-evaluation-harness

13kpushed Jun 24, 2026

Trust & integrity

Signalcasdoorlm-evaluation-harness
Maintenance
Very active (0d since push)
As of today · github_public_v1
Active (16d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No MCP manifest
As of today · mcp_manifest
No lockfile
As of today · none

Tagline

casdoor
An open-source Agent-first Identity and Access Management (IAM) / LLM MCP & agent gateway and auth server
lm-evaluation-harness
A framework for few-shot evaluation of language models.

Stars

casdoor
14k
lm-evaluation-harness
13k

Forks

casdoor
1.7k
lm-evaluation-harness
3.4k

Open issues

casdoor
100
lm-evaluation-harness
907

Language

casdoor
Go
lm-evaluation-harness
Python

Adopt for

casdoor
Casdoor is an open-source solution for identity and access management (IAM), with robust agent-first capabilities that integrate with various authentication protocols including OAuth, OIDC, SAML, CAS, LDAP, SCIM, WebAuth
lm-evaluation-harness
lm-evaluation-harness is a Python framework for evaluating language models in various parallelism modes using different checkpoint formats, compatible with the Megatron-LM backend.

Persona

casdoor
-
lm-evaluation-harness
-

Runtime

casdoor
-
lm-evaluation-harness
-

License

casdoor
Apache-2.0
lm-evaluation-harness
MIT

Last pushed

casdoor
Jul 10, 2026
lm-evaluation-harness
Jun 24, 2026

Categories

casdoor
AI Agents, Evaluation & Observability
lm-evaluation-harness
Evaluation & Observability

Trust and health

Maintenance

casdoor
Very active (96%)
lm-evaluation-harness
Active (82%)

Days since push

casdoor
0d
lm-evaluation-harness
16d

Open issues (now)

casdoor
100
lm-evaluation-harness
907

Security scan

casdoor
No MCP manifest
lm-evaluation-harness
No lockfile

Full report

lm-evaluation-harness
Trust report

Choose casdoor if…

  • casdoor is primarily Go; lm-evaluation-harness is Python.
  • License: casdoor is Apache-2.0, lm-evaluation-harness is MIT.
  • Tags unique to casdoor: agent, agi, ai-gateway, auth.
  • Also covers AI Agents.
  • casdoor ships Docker support for self-hosted deployment.
  • When you require a comprehensive IAM tool that supports multiple authentication methods such as OAuth, OIDC, SAML, CAS, LDAP, and more.

When NOT to use casdoor

  • If your project requires proprietary technology exclusivity and cannot utilize open-source tools like Casdoor licensed under Apache-2.0.
  • When the depth of integration with specific authentication methods (e.g., some advanced SAML configurations) is critical, and you find that other competitors offer more specialized or better-detailed/
  • +customizable versions of support for those methods.
  • If your environment strictly requires closed-source components for security reasons, thus Casdoor would not be a suitable choice due to its open nature.

Choose lm-evaluation-harness if…

  • lm-evaluation-harness is primarily Python; casdoor is Go.
  • License: lm-evaluation-harness is MIT, casdoor is Apache-2.0.
  • Tags unique to lm-evaluation-harness: data-parallelism, evaluation framework, expert-parallelism, language-model.
  • - When you need to evaluate large language models across multiple GPUs in data or tensor parallel configurations.

When NOT to use lm-evaluation-harness

  • - If your evaluation setup requires pipeline parallelism not currently supported by this framework.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: casdoor 14k · lm-evaluation-harness 13k (synced Jul 11, 2026).

Common questions

What is the difference between casdoor and lm-evaluation-harness?
casdoor: An open-source Agent-first Identity and Access Management (IAM) / LLM MCP & agent gateway and auth server. lm-evaluation-harness: A framework for few-shot evaluation of language models.. See the comparison table for live GitHub stats and shared categories.
When should I choose casdoor over lm-evaluation-harness?
Choose casdoor over lm-evaluation-harness when casdoor is primarily Go; lm-evaluation-harness is Python; License: casdoor is Apache-2.0, lm-evaluation-harness is MIT; Tags unique to casdoor: agent, agi, ai-gateway, auth; Also covers AI Agents; casdoor ships Docker support for self-hosted deployment; When you require a comprehensive IAM tool that supports multiple authentication methods such as OAuth, OIDC, SAML, CAS, LDAP, and more.
When should I choose lm-evaluation-harness over casdoor?
Choose lm-evaluation-harness over casdoor when lm-evaluation-harness is primarily Python; casdoor is Go; License: lm-evaluation-harness is MIT, casdoor is Apache-2.0; Tags unique to lm-evaluation-harness: data-parallelism, evaluation framework, expert-parallelism, language-model; - When you need to evaluate large language models across multiple GPUs in data or tensor parallel configurations.
When should I avoid casdoor?
If your project requires proprietary technology exclusivity and cannot utilize open-source tools like Casdoor licensed under Apache-2.0. When the depth of integration with specific authentication methods (e.g., some advanced SAML configurations) is critical, and you find that other competitors offer more specialized or better-detailed/ +customizable versions of support for those methods. If your environment strictly requires closed-source components for security reasons, thus Casdoor would not be a suitable choice due to its open nature.
When should I avoid lm-evaluation-harness?
- If your evaluation setup requires pipeline parallelism not currently supported by this framework.
Is casdoor or lm-evaluation-harness more popular on GitHub?
casdoor has more GitHub stars (13,923 vs 13,253). Stars measure visibility, not whether either tool fits your constraints.
Are casdoor and lm-evaluation-harness open source?
Yes - both are open-source projects on GitHub (casdoor: Apache-2.0, lm-evaluation-harness: MIT).
Where can I find alternatives to casdoor or lm-evaluation-harness?
GraphCanon lists graph-backed alternatives at casdoor alternatives and lm-evaluation-harness alternatives (casdoor markdown twin, lm-evaluation-harness markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, casdoor or lm-evaluation-harness?
casdoor: Very active. lm-evaluation-harness: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for casdoor and lm-evaluation-harness?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: casdoor trust report; lm-evaluation-harness trust report.